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Nonprofit Machine Learning Jobs in Berkeley, CA (NOW HIRING)

GoFundMe

Staff Data Scientist (Pricing)

San Francisco, CA · On-site

$200 - $250/hr

By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ... Apply economic theory, behavioral science, and machine learning to understand donor decision-making ...

GoFundMe

Staff Data Scientist

San Francisco, CA · On-site

By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ... Experience applying machine learning to targeting, personalization, segmentation, recommendation ...

GoFundMe

Staff Data Scientist

San Francisco, CA · On-site

By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ... Experience applying machine learning to targeting, personalization, segmentation, recommendation ...

GoFundMe

Staff Data Scientist

San Francisco, CA · On-site

$200 - $250/hr

By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ... Experience applying machine learning to targeting, personalization, segmentation, recommendation ...

Windfall

Field Marketing Manager

San Francisco, CA · On-site

$105K - $120K/yr

... nonprofit and commercial segments. This is a hands-on, in-market role. You'll be on-site at ... Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights ...

Windfall

Field Marketing Manager

San Francisco, CA · On-site

$105K - $120K/yr

... nonprofit and commercial segments. This is a hands-on, in-market role. You'll be on-site at ... Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights ...

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Showing results 21-40

All JobsNonprofit Machine Learning JobsNonprofit Machine Learning Jobs in Berkeley, CA

Nonprofit Machine Learning information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

How much do nonprofit machine learning jobs pay per year?

As of Sep 7, 2026, the average yearly pay for nonprofit machine learning in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 per year, depending on experience, location, and employer.

What is a nonprofit machine learning professional?

A Nonprofit Machine Learning professional is someone who applies machine learning and data science techniques to help nonprofit organizations achieve their missions. This can include using predictive analytics to improve fundraising, optimize program delivery, or analyze the impact of initiatives. They often work with large datasets, develop algorithms, and collaborate with program staff to find data-driven solutions to social challenges. Their work helps nonprofits make more informed decisions and maximize their impact.

How does the role of a machine learning specialist in a nonprofit differ from similar roles in the private sector?

In a nonprofit setting, a Machine Learning Specialist often works with limited resources and must prioritize projects that directly support the organization's mission, such as optimizing donor outreach, improving program delivery, or analyzing social impact. Collaboration with program staff, fundraisers, and volunteers is common, requiring strong communication skills to translate technical insights into actionable strategies. Unlike the private sector, where profitability may be the primary focus, success in a nonprofit environment is measured by social outcomes and mission alignment. This role offers the opportunity to see the tangible impact of your work and can lead to leadership or strategic roles within the organization as you demonstrate value.

What are the key skills and qualifications needed to thrive as a nonprofit machine learning specialist, and why are they important?

To thrive as a Nonprofit Machine Learning Specialist, you need a strong background in data analysis, statistics, and machine learning, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python or R, experience with machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with donor management or CRM systems are highly valuable. Strong communication, problem-solving, and collaboration skills help translate technical solutions into meaningful impact for nonprofit missions. These abilities are crucial for leveraging data-driven insights to optimize resources, drive fundraising, and advance organizational goals.

What is the difference between Nonprofit Machine Learning vs Nonprofit Data Analyst?

AspectNonprofit Machine LearningNonprofit Data Analyst
Required SkillsMachine learning algorithms, programming (Python, R), statistical modelingData visualization, statistical analysis, Excel, SQL
Work EnvironmentResearch-focused, technical teams, data science projectsReporting, data interpretation, stakeholder communication
Employer & Industry UsageTech-driven nonprofits, research institutionsCharities, advocacy groups, social service agencies

Nonprofit Machine Learning roles focus on developing predictive models and advanced algorithms, requiring programming and statistical skills. Nonprofit Data Analysts primarily interpret and visualize data to inform decisions. While both roles support nonprofit missions, Machine Learning positions are more technical and research-oriented, whereas Data Analysts focus on data reporting and communication.

What are popular job titles related to Nonprofit Machine Learning jobs in Berkeley, CA?

For Nonprofit Machine Learning jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Nonprofit Machine Learning jobs in Berkeley, CA look for?

The top searched job categories for Nonprofit Machine Learning jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Nonprofit Machine Learning jobs?

Cities near Berkeley, CA with the most Nonprofit Machine Learning job openings:

Nonprofit Machine Learning jobs near you
Infographic showing various Nonprofit Machine Learning job openings in Berkeley, CA as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.

Actuarial Analyst, Senior

Blue Shield of California

Oakland, CA • On-site

$102K - $154K/yr

Full-time

Re-posted 2 days ago

Key responsibilities

  • Develop actuarial models to support contract negotiations and perform benchmarking studies.

  • Conduct and coordinate actuarial analyses related to pricing, trending, reserving, provider reimbursement, and risk assessment.

  • Prepare and present analysis results for strategic meetings with senior executives.

Blue Shield Of California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

134th of 315 rated insurance

Job description


Your Role
The Network & Trend Analytics (NTA) team provides analytical and strategic support for BSC provider contract negotiations and performance management in collaboration with other departments. Our work is essential for us to fulfill our mission. The Actuarial Analyst, Senior will report to the Actuarial Analyst, Principal. In this role you will develop actuarial models to support contract negotiations, perform benchmarking studies, work on presentations for strategic meetings for senior executives as well as meet other business needs.
Responsibilities
Your Work
In this role, you will:
  • Understand the core principles and functionality of decision, descriptive and predictive analytic methods including forecasting, statistical and machine learning techniques
  • Conduct and develop analysis, assess risk and population risk scores and assignment, develop pricing and trends, assess changes in benefit designs, develop reserves, perform forecasting, analyze provider reimbursement terms and/or evaluates actuarial risk related analysis
  • Coordinate, prepare, perform and audit actuarial analyses to assist in the development of complex actuarial formulations leading to the recommendation of pricing, trending, reserving, provider reimbursement and/or risk assessment strategies
  • Perform data exploration using a combination of statistical programming languages (including, but not limited R, Python, SQL, SAS) and deploys predictive analytics and machine learning techniques to improve risk prediction, improve reserve, trend and financial forecasting in a manner that is actuarially sound, and enable real-time results and operational efficiencies
  • Develop evaluation and financial reporting standards for internal and external reports
  • Develop presentations for senior-executive strategic meetings by working with different teams, including performing various actuarial studies using different tools (Excel, SAS, SQL, etc.)
  • Conduct benchmarking, BSC health care spend, price transparency and competitive studies leveraging internal and external data sources
  • Be able to work under a fast-paced organization

Qualifications
Your Knowledge and Experience
  • Requires a college degree with at least a minor in mathematics, statistics, computer science or equivalent business experience
  • Requires a minimum of 3 years of professional actuarial experience
  • Requires an ASA designation or has completed the majority of the courses to complete the ASA designation
  • Requires proficiency with MS Office, including Excel, Word, PowerPoint
  • Preferred: work experience with SQL or SAS and large health care databases
  • Preferred: project management work experience
  • Preferred: work experience with provider contracting analytics

Hybrid
This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week.
Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need.
#LI-CS1
About the Team
About Blue Shield of California
As of January 2025, Blue Shield of California became a subsidiary of Ascendiun. Ascendiun is a nonprofit corporate entity that is the parent to a family of organizations including Blue Shield of California and its subsidiary, Blue Shield of California Promise Health Plan; Altais, a clinical services company; and Stellarus, a company designed to scale healthcare solutions. Together, these organizations are referred to as the Ascendiun Family of Companies.
At Blue Shield of California, our mission is to create a healthcare system worthy of our family and friends and sustainably affordable. We are transforming health care in a way that genuinely serves our nonprofit mission by lowering costs, improving quality, and enhancing the member and physician experience.
To achieve our mission, we foster an environment where all employees can thrive and contribute fully to address the needs of the various communities we serve. We are committed to creating and maintaining a supportive workplace that upholds our values and advances our goals.
Blue Shield is a U.S. News Best Company to work for, a Deloitte U.S. Best Managed Company and a Top 100 Inspiring Workplace. We were recognized by Fair360 as a Top Regional Company, and one of the 50 most community-minded companies in the United States by Points of Light. Here at Blue Shield, we strive to make a positive change across our industry and communities - join us!
Our Values:
  • Honest. We hold ourselves to the highest ethical and integrity standards. We build trust by doing what we say we're going to do and by acknowledging and correcting where we fall short.
  • Human. We strive to listen and communicate effectively, showing empathy by understanding others' perspectives.
  • Courageous. We stand up for what we believe in and are committed to the hard work necessary to achieve our ambitious goals.

Our Workplace Model
We believe in fostering a workplace environment that balances purposeful in-person collaboration with flexibility - providing clear expectations while respecting the diverse needs of our workforce. Our workplace model is designed around intentional in-person interaction, collaboration, connection, creativity and flexibility:
  • For most teams, this means coming into the office two days per week.
  • Employees living more than 50 miles from an office location, out of state employees, and employees in certain member-facing roles should work with their manager to determine in-office time based on business need.
  • For employees with medical conditions that may impact their ability to work in-office, we are committed to engaging in an interactive process and providing reasonable accommodations to ensure their work environment is conducive to their success and well-being.

The Company reserves the right to require more presence in the office based on business needs, and requirements are subject to change with periodic reviews.
Physical Requirements:
Office Environment - roles involving part to full time schedule in Office Environment. Based in our physical offices and work from home office/deskwork - Activity level: Sedentary, frequency most of work day.
Please click here for further physical requirement detail.
Equal Employment Opportunity:
External hires must pass a background check/drug screen. Qualified applicants with arrest records and/or conviction records will be considered for employment in a manner consistent with Federal, State and local laws, including but not limited to the San Francisco Fair Chance Ordinance. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, national origin, sexual orientation, gender identity, protected veteran status or disability status and any other classification protected by Federal, State and local laws.

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